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Record W3008657772 · doi:10.1093/jcag/gwz047.231

A232 EFFICACY OF TOFACITINIB FOR THE TREATMENT OF MODERATE-TO-SEVERE ULCERATIVE COLITIS: REAL-WORLD DATA

2020· article· en· W3008657772 on OpenAlexaffabout
Yasi Xiao, Péter L. Lakatos, Raymond Bourdages, Alain Bitton, Waqqas Afif, Rita Kohen, M Berberi, Talat Bessissow

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsHotel Dieu HospitalMcGill University Health CentreMcGill University
Fundersnot available
KeywordsTofacitinibMedicineUlcerative colitisCalprotectinInternal medicineJanus kinase inhibitorGastroenterologySurgeryInflammatory bowel diseaseRheumatoid arthritisDisease

Abstract

fetched live from OpenAlex

Abstract Background A significant proportion of patients with moderate to severe ulcerative colitis (UC) do not respond to therapy, which includes thiopurines, glucocorticoids, and antagonists to tumour necrosis factor-α and integrin. Tofacitinib, a Janus Kinase inhibitor, has emerged as an efficacious and safe treatment for moderate to severe ulcerative colitis. However, it is not known if this efficacy translates into real-life effectiveness in a regular clinical practice. Aims We aimed to assess the rate of clinical response and clinical remission at 3 and 6 months after tofacitinib initiation. Secondary endpoints included rate of biomarker normalization, corticosteroids-free clinical remission and severe infections. Methods We conducted a multi-center retrospective observational study of adult patients with active UC started on tofacitinib from January 1, 2015 to October 1, 2019 at the McGill University Health Center and Hotel-Dieu de Lévis. A positive clinical response was defined as a decrease of ≥3 in the partial Mayo score. Clinical remission was defined as partial Mayo score of ≤2. Biomarker normalization was defined as fecal calprotectin ≤250ug/g. Severe infection was defined as an infection requiring hospitalization. Results During the study period, 40 patients with UC were started on tofacitinib. Amongst the patients, 85% (n=34) had failed ≥1 biologic and 50% (n=20) had failed ≥3 biologics. At the time of this preliminary analysis, 38 patients had undergone 3 months of treatment and 30 patients had undergone 6 months of treatment. At 3 months, a clinical response was seen in 89.5% of patients (n=34) and clinical remission occurred in 63.2% (n=24). At 6 months, clinical response occurred in 73.3% of patients (n=22) and clinical remission was sustained in 53.33% (n=16). Biochemical normalization occurred in 29.0% (n=11) and 30.0% (n=9) at 3 and 6 months, respectively. Additionally, 63.2% (n=24) and 43.3% of patients (n=13) achieved steroid-free clinical remission at 3 and 6 months, respectively. In the interim, one patient developed a serious infection requiring discontinuation of drug. Conclusions Our preliminary analysis demonstrates that in a real-life setting, tofacitinib is an effective treatment for inducing clinical remission in refractory UC patients. Further data will be complied to better assess the efficacy over a longer follow up. Funding Agencies None

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.270
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

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